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Climate change and agricultural transformation are increasingly affecting cocoa production in Sub-Saharan Africa, where smallholder farmers face growing environmental and socioeconomic constraints. This study investigates their effects on cocoa productivity in the Mvila Division of South Cameroon, with particular attention to agricultural modernization, rainfall variability, cooperative membership, fertilizer use, and farm-level characteristics. The study combines qualitative evidence from administrative and policy documents with quantitative data from cocoa farmers and secondary sources, including MINADER, IRAD, FAOSTAT, ICCO, CHIRPS, and the National Cocoa and Coffee Board. Descriptive statistics, correlation analysis, multiple regression, robustness tests, and scenario projections were used to assess productivity across five subdivisions. The results show that cooperative membership, favourable rainfall conditions, farmer education, fertilizer use, and farm size significantly increase cocoa productivity, while ageing plantations reduce yields. Agricultural transformation has also strengthened farmer organizations, extension services, and adoption of improved practices, although mechanization remains constrained by inadequate infrastructure, limited finance, and uneven institutional support. Ebolowa I and Ebolowa II consistently record higher productivity, associated with stronger institutional support and greater adoption of improved practices. The study contributes empirical evidence on the interaction between climate variability and agricultural transformation in cocoa-producing smallholder systems and highlights the importance of combining climate-smart practices, plantation rehabilitation, producer organizations, extension services, and appropriate mechanization to improve productivity and strengthen farmers' resilience in Cameroon.

This study examines whether risk asset exposure affects the financial performance of commercial banks in Cameroon, a bank-dominated economy of the Central African Economic and Monetary Community (CEMAC). Risk asset exposure is measured by lending intensity (the loan-to-deposit ratio) and credit expansion (annual loan growth), and performance by return on assets (ROA). The data form a balanced panel of ten commercial banks over 2014–2024, compiled from the prudential reporting system of the Central African Banking Commission (COBAC) as published by Cameroon's National Economic and Financial Committee. Bank fixed-effects regressions with bank-clustered standard errors are complemented by a wild-cluster bootstrap suited to few clusters, Driscoll–Kraay standard errors, lagged regressors, panel Granger non-causality tests and a within–between (Mundlak) decomposition that separates changes in a bank's own exposure from persistent differences between banks. The main findings are that (i) neither lending intensity nor credit expansion is significantly associated with profitability in any specification (bootstrap p = 0.81 and 0.30), and the confidence intervals exclude effects larger than about one percentage point of ROA; (ii) lending intensity is unrelated to profitability both within banks over time and between banks (between-effect bootstrap p = 0.88); and (iii) the COVID-19 years of 2020–2021 were associated with ROA about 0.70 percentage points lower (bootstrap p = 0.009). The results indicate a limited role for lending exposure, while significant bank fixed effects and the COVID-19 coefficient point to persistent bank heterogeneity and common systemic shocks. Because the sample comprises ten banks under a single regulator, the findings should be interpreted with caution.

To maximize value, companies must adopt the optimal financial structure. However, identifying this structure is not easy. Literature does not give satisfactory results. To remedy this difficulty, we have sought the optimal financial structure applicable to all companies. Thus, in a new approach by the cost of capital, using modelling, we identify an optimal financial structure model that can neutralize the risk of default of debt:   D/K  with t ? i but t > i.

The main objective of this study was to identify the specific characteristics of companies in Cameroon and to highlight the factors that explain their reluctance to be listed on the stock market. Thus, in order to build the state of the art appropriate to this objective, we had to follow three lines of investigation: the theories related to the listing of firms on the stock market, their specific characteristics, and the cross-fertilization of these two fields. On the basis of the literature, four explanatory hypotheses were deduced: they are related to the shareholding structure of firms, to the financial characteristics, to the size of the firm and to the socio-demographic characteristics of the managers. To test these hypotheses, a survey was conducted among 40 SAs in the city of Douala. The data was processed with the SPSS 20 software and we used flat sorting, cross-sorting, pearson correlation test as well as linear regression. This methodology allowed us to obtain the results according to which the family and filial character and the size of the company are mainly the factors of reluctance of the listing on the stock exchange on the one hand, and the behavioral factors of the company managers, in particular the level of education and the experience on the other hand.